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  • In this paper the cepstral vocoder is utilized in speech enhancement task. In this application in the analysis step first an algorithm for suppression of noise is used and then the estimation of the cepstral model follows, which leads to more reliable speech parameters. The speech is then synthesized by the cepstral vocoder, which works in the source filter mode. The output speech is compared with speech enhanced by standard algorithm like spectral subtraction and Log Spectral Amplitude (LSA) estimator developed by Ephraim and Malah.
  • In this paper the cepstral vocoder is utilized in speech enhancement task. In this application in the analysis step first an algorithm for suppression of noise is used and then the estimation of the cepstral model follows, which leads to more reliable speech parameters. The speech is then synthesized by the cepstral vocoder, which works in the source filter mode. The output speech is compared with speech enhanced by standard algorithm like spectral subtraction and Log Spectral Amplitude (LSA) estimator developed by Ephraim and Malah. (en)
  • In this paper the cepstral vocoder is utilized in speech enhancement task. In this application in the analysis step first an algorithm for suppression of noise is used and then the estimation of the cepstral model follows, which leads to more reliable speech parameters. The speech is then synthesized by the cepstral vocoder, which works in the source filter mode. The output speech is compared with speech enhanced by standard algorithm like spectral subtraction and Log Spectral Amplitude (LSA) estimator developed by Ephraim and Malah. (cs)
Title
  • Speech Enhancement using Cepstral Vocoder
  • Speech Enhancement using Cepstral Vocoder (en)
  • Speech Enhancement using Cepstral Vocoder (cs)
skos:prefLabel
  • Speech Enhancement using Cepstral Vocoder
  • Speech Enhancement using Cepstral Vocoder (en)
  • Speech Enhancement using Cepstral Vocoder (cs)
skos:notation
  • RIV/00216305:26220/07:PU70228!RIV08-GA0-26220___
http://linked.open.../vavai/riv/strany
  • 110-114
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET301710509), P(GA102/07/1303)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 451582
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/07:PU70228
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Speech Enhancement, Cepstral Vocoder (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [785B2FC07E60]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • 17th Czech-German Workshop Speech Processing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Vondra, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Ústav fotoniky a elektroniky AV ČR
https://schema.org/isbn
  • 978-80-86269-00-9
http://localhost/t...ganizacniJednotka
  • 26220
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